Multimodal image fusion in sensor networks using independent component analysis

N Cvejic; DR Bull; CN Canagarajah

doi:10.1109/ICDSP.2007.4288568

Multimodal image fusion in sensor networks using independent component analysis

N Cvejic, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

425 Downloads (Pure)

Abstract

We present a novel image fusion algorithm based on ICA that has an improved performance over sensor networks. It employs segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. Sparse coding of the coefficients in ICA domain is used to minimize noise transferred from input images into the fused output. Experimental results confirm that the proposed method outperforms other state-of- the-art methods in the sensor network environment, characterized by JPEG 2000 compression and data packetization

Translated title of the contribution	Multimodal image fusion in sensor networks using independent component analysis
Original language	English
Title of host publication	15th International Conference on Digital Signal Processing, Cardiff
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	260 - 263
Number of pages	4
ISBN (Print)	1424408814, 1424408822
DOIs	https://doi.org/10.1109/ICDSP.2007.4288568
Publication status	Published - Jul 2007
Event	15th International Conference on Digital Signal Processing - Cardiff, United Kingdom Duration: 1 Jul 2007 → …

Conference

Conference	15th International Conference on Digital Signal Processing
Country/Territory	United Kingdom
City	Cardiff
Period	1/07/07 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2007 IEEE. Reprinted from 15th International Conference on Digital Signal Processing, 2007.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

image fusion
region-based fusion
independent component analysis
sensor networks
JPEG 2000

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10.1109/ICDSP.2007.4288568

Cvejic IEEE DSP 2007Accepted author manuscript, 7.25 MB

http://hdl.handle.net/1983/1512

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title = "Multimodal image fusion in sensor networks using independent component analysis",

abstract = "We present a novel image fusion algorithm based on ICA that has an improved performance over sensor networks. It employs segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. Sparse coding of the coefficients in ICA domain is used to minimize noise transferred from input images into the fused output. Experimental results confirm that the proposed method outperforms other state-of- the-art methods in the sensor network environment, characterized by JPEG 2000 compression and data packetization",

keywords = "image fusion, region-based fusion, independent component analysis, sensor networks, JPEG 2000",

author = "N Cvejic and DR Bull and CN Canagarajah",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2007 IEEE. Reprinted from 15th International Conference on Digital Signal Processing, 2007. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 15th International Conference on Digital Signal Processing ; Conference date: 01-07-2007",

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Cvejic, N, Bull, DR & Canagarajah, CN 2007, Multimodal image fusion in sensor networks using independent component analysis. in 15th International Conference on Digital Signal Processing, Cardiff. Institute of Electrical and Electronics Engineers (IEEE), pp. 260 - 263, 15th International Conference on Digital Signal Processing, Cardiff, United Kingdom, 1/07/07. https://doi.org/10.1109/ICDSP.2007.4288568

Multimodal image fusion in sensor networks using independent component analysis. / Cvejic, N; Bull, DR; Canagarajah, CN.
15th International Conference on Digital Signal Processing, Cardiff. Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 260 - 263.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2007 IEEE. Reprinted from 15th International Conference on Digital Signal Processing, 2007. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2007/7

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ER -

Multimodal image fusion in sensor networks using independent component analysis

Abstract

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Keywords

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